Network Intrusion Detection Method Using Stacked BILSTM Elastic Regression Classifier with Aquila Optimizer Algorithm for Internet of Things (IoT)

Globally, over the past ten years, computer networks and Internet of Things (IoT) networks have grown significantly due to the increasing amount of data that has been collected, ranging from zettabytes to petabytes. As a result, as the network has expanded, security problems have also emerged. The large data sets involved in these types of attacks can make detection difficult. The developing networks are being used for a multitude of sophisticated purposes, such as smart homes, cities, grids, gadgets, and objects, as well as e-commerce, e-banking, and e-government. As a result of the development of numerous intrusion detection systems (IDS), computer networks are now protected from security and privacy threats. Data confidentiality, integrity, and availability will suffer if IDS prevention efforts fail. Complex attacks can't be handled by traditional methods.  There has been a growing interest in advanced deep learning techniques for detecting intrusions and identifying abnormal behavior in networks. This research aims to propose a novel network namely stacked BiLSTM elastic regression classifier (Stack_BiLSTM-ERC) with Aquila optimizer algorithm for feature selection. This optimization method computes use of a cutting-edge transition function that enables it to be transformed into a binary form of the Aquila optimizer. A better solution could be secured once number of possible solutions are found from diverse regions of the search space utilizing the Aquila optimizer method. NSL-KDD and UNSW-NB15 are two datasets that enable learning characteristics from the raw data in order to detect harmful prerequisites characteristics and effective framework patterns. The proposed Stack_BiLSTM-ERC achieves 98.l3% of accuracy, 95.1% of precision, 94.3% of recall and 95.4 of F1-score for NSL-KDD dataset. Moreover, 98.6% of accuracy, 97.2% of precision, 98.5 of recall and 97.5% of F1-score

Misplaced IUCD: a case report

Contraception is a national emergency, essential in a developing country like India. Intrauterine contraceptive devices (IUCDs) are amongst the most frequently used methods of contraception. The patients with misplaced IUCDs may present with pregnancies or ‘lost strings’ or they may remain asymptomatic and/ or may have recurrent pregnancy losses and may become pregnant as in our case

Traditional technological aspects of fishing crafts in North Coastal Andhra Pradesh, East Coast of India

The study focuses on different types of boats used in marine fishing by traditional communities inhabiting the northeast coastal Andhra Pradesh. These boats area grouped into tied, stitched and moulded. A few of these prototypes of mechanised boats are added by mechanical devices. All these boats are fabricated by indigenous technologies by using local materials. The fabricators are illiterate fishing people. Their ingenuity of maintaining ratios in relation to keel, stem, hull, mast and rudder of a boat to navigate on open sea is astonishing. Further, the study discusses different types of nets used in harvesting various types of fish. The other fishing paraphernalia like hooks, lines, lures etc are also discussed

Indigenous knowledge systems of maritime communities of Visakhapatnam coast

This paper delineated the indigenous knowledge system of fishing communities of Visakhapatnam district. The present study is undertaken to bring out the present status of fishing communities inhabiting the Visakhapatnam district and their techno housing types, demographic profiles, economic aspects of the fishing communities have been described in detail

A New Approach for SAR Image Denoising

In synthetic aperture radar (SAR)  imaging, the transmitted pulses from space born antenna interacts with ground objects and returned energy or back scattered energy will be collected  to get backscattered image. In this process, a speckle noise will be added because of the coherent imaging system and  makes the study of SAR images very difficult. For better SAR image processing, the speckle has to be removed in the initial stages of processing  and maintain all texture features efficiently. The BM3D method is generally considered as state of art method in denoising of SAR images. In this paper, it is proposed a technique to despeckle the speckle noise to the maximum extent while maintaining the edge characteristics

Analysis of the nutritive composition of wild and farmed tiger shrimp Penaeus monodon fabricius

The present study was undertaken to estimate and compare the nutritive value (moisture, protein, fat, carbohydrate, calcium, phosphorus, iron) of peeled tails of wild and farmed shrimp Penaeus monodon as there is a misnomer that farmed shrimp has high fat/cholesterol content compare to wild shrimp and also wild shrimp is highly nutritious than farmed tiger shrimp. The percentage moisture content in the peeled tails of tiger shrimp specimens collected from coastal waters varied from 73% to 76.74% with an average of 74.83 %, protein content ranged between 19.5% and 21.0% with an average of 20.17%. The fat content varied from 3.2% to 5.0% with an average to 4.06%, carbohydrate content ranged between 0.07% and 1.09% with an average of to 0.64% and ash content varied between 0.43% and 0.55% with an average of 0.49 %. The phosphorus (as phosphate) content ranged from 923 to 1407 and averaged 1272 mg/l00g. The iron (ppm) concentration fluctuated between 79.61 and 93.19 and averaged to 89.04 ppm. From Brackish waters the percentage of moisture content ranged from 73.84 % to 76.14 % and averaged to 75.36%, percentage protein content varied from 18.1% to 20.1% and averaged to 19.05%. The percentage fat content varied from 3.09% to 5.44% and averaged to 4.06%, percentage carbohydrate content varied from 0.29% to 1.79% and averaged to 0.94% and ash content fluctuated from 0.45% to 2.74% and averaged to 1.01%. The phosphorus content ranged between 747 and 1025 and averaged to 888 mg/l00g and calcium content ranged between 186 and 501 and averaged to 375 mg/l00g. Iron concentration varied between 82.01 and 112.06 ppm and averaged to 100.45 mg/l00g

Economic and domestic activities of maritime fisher women of north coastal andhra pradesh, east coast of India

In anthropological literature, the early studies, particularly of late nineteenth century anthropologists had recorded women’s participation in all aspects of social, economic, political and religious aspects as they were but not emphasizing or focusing distinctly on women. In the present study the analyzed data are presented under three broad heads, such as 1. Procurement and Transport. 2. Sale of fish (wet) and 3. Dry fish and Sale. Each head is further sub headed according to the information pertaining to type of marketing or vending methods and locations. Fisher women activities at domestic level besides the economic are dealt in detail to draw the domestic and entrepreneurial tenacities